Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	8920
Missing cells	41558
Missing cells (%)	19.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.4 MiB
Average record size in memory	2.1 KiB

Variable types

Numeric	8
Text	4
Categorical	4
Boolean	7
Unsupported	1

Alerts

`garage` has constant value "False"	Constant
`Etat` is highly overall correlated with `bathrooms`	High correlation
`age` is highly overall correlated with `bathrooms`	High correlation
`air_conditioning` is highly overall correlated with `heating`	High correlation
`bathrooms` is highly overall correlated with `Etat` and 1 other fields	High correlation
`bedrooms` is highly overall correlated with `rooms` and 1 other fields	High correlation
`delegation` is highly overall correlated with `state`	High correlation
`floor` is highly overall correlated with `rez_de_chaussee_count`	High correlation
`heating` is highly overall correlated with `air_conditioning`	High correlation
`price` is highly overall correlated with `surface`	High correlation
`rez_de_chaussee_count` is highly overall correlated with `floor`	High correlation
`rooms` is highly overall correlated with `bedrooms` and 1 other fields	High correlation
`state` is highly overall correlated with `delegation`	High correlation
`surface` is highly overall correlated with `bedrooms` and 2 other fields	High correlation
`location` has 3347 (37.5%) missing values	Missing
`rooms` has 4686 (52.5%) missing values	Missing
`etage_count` has 1772 (19.9%) missing values	Missing
`rez_de_chaussee_count` has 1772 (19.9%) missing values	Missing
`floor` has 3722 (41.7%) missing values	Missing
`date` has 6087 (68.2%) missing values	Missing
`floor_description` has 4493 (50.4%) missing values	Missing
`Etat` has 7831 (87.8%) missing values	Missing
`age` has 7825 (87.7%) missing values	Missing
`price` is highly skewed (γ1 = 33.62460124)	Skewed
`bathrooms` is highly skewed (γ1 = 75.63710453)	Skewed
`date` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`etage_count` has 3388 (38.0%) zeros	Zeros
`rez_de_chaussee_count` has 5931 (66.5%) zeros	Zeros
`floor` has 1002 (11.2%) zeros	Zeros

Reproduction

Analysis started	2025-02-08 16:55:59.381985
Analysis finished	2025-02-08 16:56:06.393909
Duration	7.01 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

price
Real number (ℝ)

High correlation Skewed

Distinct	847
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	817523.82

Minimum	10666
Maximum	5.85 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	10666
5-th percentile	110000
Q1	185000
median	280000
Q3	420000
95-th percentile	809839.45
Maximum	5.85 × 10⁸
Range	5.8498933 × 10⁸
Interquartile range (IQR)	235000

Descriptive statistics

Standard deviation	13278030
Coefficient of variation (CV)	16.241765
Kurtosis	1244.4586
Mean	817523.82
Median Absolute Deviation (MAD)	110000
Skewness	33.624601
Sum	7.2923125 × 10⁹
Variance	1.7630608 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250000	231	2.6%
180000	180	2.0%
220000	173	1.9%
350000	166	1.9%
230000	159	1.8%
150000	156	1.7%
240000	152	1.7%
200000	150	1.7%
320000	149	1.7%
170000	146	1.6%
Other values (837)	7258	81.4%

Value	Count	Frequency (%)
10666	1	< 0.1%
11111	1	< 0.1%
12000	2	< 0.1%
15000	2	< 0.1%
18000	1	< 0.1%
19000	2	< 0.1%
20000	1	< 0.1%
22222	2	< 0.1%
23000	1	< 0.1%
24700	1	< 0.1%

Value	Count	Frequency (%)
585000000	1	< 0.1%
570000000	1	< 0.1%
520000000	1	< 0.1%
330000000	2	< 0.1%
290000000	1	< 0.1%
280000000	2	< 0.1%
235000000	2	< 0.1%
230000000	1	< 0.1%
98218890	1	< 0.1%
80000000	1	< 0.1%

location
Text

Missing

Distinct	728
Distinct (%)	13.1%
Missing	3347
Missing (%)	37.5%
Memory size	498.3 KiB

Length

Max length	83
Median length	71
Mean length	14.899336
Min length	0

Characters and Unicode

Total characters	83034
Distinct characters	97
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	387 ?
Unique (%)	6.9%

Sample

1st row	Jardins de Carthage
2nd row	Les Jardins du lac 2
3rd row	Les berges du lac 1
4th row	Ennasr 1-2
5th row	Aouina

Value	Count	Frequency (%)
el	1354	8.9%
tunis	1310	8.6%
la	940	6.2%
cité	677	4.5%
soukra	581	3.8%
	530	3.5%
aouina	478	3.2%
ariana	365	2.4%
ennasr	359	2.4%
carthage	308	2.0%
Other values (539)	8272	54.5%

Most occurring characters

Value	Count	Frequency (%)
a	10706	12.9%
	10387	12.5%
n	5719	6.9%
i	5053	6.1%
u	4698	5.7%
e	4605	5.5%
r	4447	5.4%
o	3566	4.3%
s	3453	4.2%
l	3042	3.7%
Other values (87)	27358	32.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	83034	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	10706	12.9%
	10387	12.5%
n	5719	6.9%
i	5053	6.1%
u	4698	5.7%
e	4605	5.5%
r	4447	5.4%
o	3566	4.3%
s	3453	4.2%
l	3042	3.7%
Other values (87)	27358	32.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	83034	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	10706	12.9%
	10387	12.5%
n	5719	6.9%
i	5053	6.1%
u	4698	5.7%
e	4605	5.5%
r	4447	5.4%
o	3566	4.3%
s	3453	4.2%
l	3042	3.7%
Other values (87)	27358	32.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	83034	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	10706	12.9%
	10387	12.5%
n	5719	6.9%
i	5053	6.1%
u	4698	5.7%
e	4605	5.5%
r	4447	5.4%
o	3566	4.3%
s	3453	4.2%
l	3042	3.7%
Other values (87)	27358	32.9%

state
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	479.4 KiB

ARIANA	3653
TUNIS	3632
BEN AROUS	1095
MANOUBA	540

Length

Max length	9
Median length	7
Mean length	6.0216368
Min length	5

Characters and Unicode

Total characters	53713
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TUNIS
2nd row	TUNIS
3rd row	TUNIS
4th row	ARIANA
5th row	ARIANA

Common Values

Value	Count	Frequency (%)
ARIANA	3653	41.0%
TUNIS	3632	40.7%
BEN AROUS	1095	12.3%
MANOUBA	540	6.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ariana	3653	36.5%
tunis	3632	36.3%
ben	1095	10.9%
arous	1095	10.9%
manouba	540	5.4%

Most occurring characters

Value	Count	Frequency (%)
A	13134	24.5%
N	8920	16.6%
I	7285	13.6%
U	5267	9.8%
R	4748	8.8%
S	4727	8.8%
T	3632	6.8%
B	1635	3.0%
O	1635	3.0%
E	1095	2.0%
Other values (2)	1635	3.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	53713	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	13134	24.5%
N	8920	16.6%
I	7285	13.6%
U	5267	9.8%
R	4748	8.8%
S	4727	8.8%
T	3632	6.8%
B	1635	3.0%
O	1635	3.0%
E	1095	2.0%
Other values (2)	1635	3.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	53713	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	13134	24.5%
N	8920	16.6%
I	7285	13.6%
U	5267	9.8%
R	4748	8.8%
S	4727	8.8%
T	3632	6.8%
B	1635	3.0%
O	1635	3.0%
E	1095	2.0%
Other values (2)	1635	3.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	53713	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	13134	24.5%
N	8920	16.6%
I	7285	13.6%
U	5267	9.8%
R	4748	8.8%
S	4727	8.8%
T	3632	6.8%
B	1635	3.0%
O	1635	3.0%
E	1095	2.0%
Other values (2)	1635	3.0%

bedrooms
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4378924

Minimum	0
Maximum	8
Zeros	39
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.91747082
Coefficient of variation (CV)	0.3763377
Kurtosis	0.27890965
Mean	2.4378924
Median Absolute Deviation (MAD)	1
Skewness	0.33318652
Sum	21746
Variance	0.84175271
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	3627	40.7%
3	3076	34.5%
1	1207	13.5%
4	810	9.1%
5	151	1.7%
0	39	0.4%
6	9	0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
0	39	0.4%
1	1207	13.5%
2	3627	40.7%
3	3076	34.5%
4	810	9.1%
5	151	1.7%
6	9	0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
6	9	0.1%
5	151	1.7%
4	810	9.1%
3	3076	34.5%
2	3627	40.7%
1	1207	13.5%
0	39	0.4%

rooms
Real number (ℝ)

High correlation Missing

Distinct	16
Distinct (%)	0.4%
Missing	4686
Missing (%)	52.5%
Infinite	0
Infinite (%)	0.0%
Mean	3.0292867

Minimum	0
Maximum	34
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	34
Range	34
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4811492
Coefficient of variation (CV)	0.48894323
Kurtosis	146.27517
Mean	3.0292867
Median Absolute Deviation (MAD)	1
Skewness	7.9895249
Sum	12826
Variance	2.1938031
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
3	1581	17.7%
4	1017	11.4%
2	964	10.8%
1	374	4.2%
5	235	2.6%
6	31	0.3%
7	15	0.2%
10	4	< 0.1%
0	3	< 0.1%
8	2	< 0.1%
Other values (6)	8	0.1%
(Missing)	4686	52.5%

Value	Count	Frequency (%)
0	3	< 0.1%
1	374	4.2%
2	964	10.8%
3	1581	17.7%
4	1017	11.4%
5	235	2.6%
6	31	0.3%
7	15	0.2%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
34	2	< 0.1%
32	1	< 0.1%
23	2	< 0.1%
22	1	< 0.1%
14	1	< 0.1%
10	4	< 0.1%
9	1	< 0.1%
8	2	< 0.1%
7	15	0.2%
6	31	0.3%

bathrooms
Real number (ℝ)

High correlation Skewed

Distinct	9
Distinct (%)	0.1%
Missing	7
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.2310109

Minimum	0
Maximum	130
Zeros	17
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	130
Range	130
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.471732
Coefficient of variation (CV)	1.1955475
Kurtosis	6582.8585
Mean	1.2310109
Median Absolute Deviation (MAD)	0
Skewness	75.637105
Sum	10972
Variance	2.1659951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	7270	81.5%
2	1366	15.3%
3	224	2.5%
4	27	0.3%
0	17	0.2%
5	6	0.1%
7	1	< 0.1%
23	1	< 0.1%
130	1	< 0.1%
(Missing)	7	0.1%

Value	Count	Frequency (%)
0	17	0.2%
1	7270	81.5%
2	1366	15.3%
3	224	2.5%
4	27	0.3%
5	6	0.1%
7	1	< 0.1%
23	1	< 0.1%
130	1	< 0.1%

Value	Count	Frequency (%)
130	1	< 0.1%
23	1	< 0.1%
7	1	< 0.1%
5	6	0.1%
4	27	0.3%
3	224	2.5%
2	1366	15.3%
1	7270	81.5%
0	17	0.2%

surface
Real number (ℝ)

High correlation

Distinct	330
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125.00861

Minimum	16
Maximum	780
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	16
5-th percentile	57
Q1	90
median	115
Q3	150
95-th percentile	222.05
Maximum	780
Range	764
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	57.364709
Coefficient of variation (CV)	0.45888605
Kurtosis	12.314809
Mean	125.00861
Median Absolute Deviation (MAD)	30
Skewness	2.3177452
Sum	1115076.8
Variance	3290.7099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	458	5.1%
120	299	3.4%
90	290	3.3%
110	255	2.9%
80	227	2.5%
150	196	2.2%
110.3542835	192	2.2%
130	179	2.0%
140	168	1.9%
70	166	1.9%
Other values (320)	6490	72.8%

Value	Count	Frequency (%)
16	1	< 0.1%
18	2	< 0.1%
20	4	< 0.1%
25	2	< 0.1%
26	5	0.1%
27	1	< 0.1%
28	2	< 0.1%
30	13	0.1%
31	3	< 0.1%
32	4	< 0.1%

Value	Count	Frequency (%)
780	1	< 0.1%
700	1	< 0.1%
658	1	< 0.1%
650	1	< 0.1%
623	1	< 0.1%
614	2	< 0.1%
600	2	< 0.1%
585	1	< 0.1%
583	1	< 0.1%
580	1	< 0.1%

parking
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

True	4711
False	4209

Value	Count	Frequency (%)
True	4711	52.8%
False	4209	47.2%

equipped_kitchen
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

False	7293
True	1627

Value	Count	Frequency (%)
False	7293	81.8%
True	1627	18.2%

balcony
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

True	5137
False	3783

Value	Count	Frequency (%)
True	5137	57.6%
False	3783	42.4%

heating
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

True	4639
False	4281

Value	Count	Frequency (%)
True	4639	52.0%
False	4281	48.0%

air_conditioning
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

False	4954
True	3966

Value	Count	Frequency (%)
False	4954	55.5%
True	3966	44.5%

garage
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

False	8920

Value	Count	Frequency (%)
False	8920	100.0%

elevator
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

False	5886
True	3034

Value	Count	Frequency (%)
False	5886	66.0%
True	3034	34.0%

etage_count
Real number (ℝ)

Missing Zeros

Distinct	8
Distinct (%)	0.1%
Missing	1772
Missing (%)	19.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.64255736

Minimum	0
Maximum	12
Zeros	3388
Zeros (%)	38.0%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	2
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.72895444
Coefficient of variation (CV)	1.1344582
Kurtosis	11.241025
Mean	0.64255736
Median Absolute Deviation (MAD)	1
Skewness	1.7220175
Sum	4593
Variance	0.53137457
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	3388	38.0%
1	3072	34.4%
2	590	6.6%
3	71	0.8%
4	19	0.2%
6	5	0.1%
5	2	< 0.1%
12	1	< 0.1%
(Missing)	1772	19.9%

Value	Count	Frequency (%)
0	3388	38.0%
1	3072	34.4%
2	590	6.6%
3	71	0.8%
4	19	0.2%
5	2	< 0.1%
6	5	0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
6	5	0.1%
5	2	< 0.1%
4	19	0.2%
3	71	0.8%
2	590	6.6%
1	3072	34.4%
0	3388	38.0%

rez_de_chaussee_count
Real number (ℝ)

High correlation Missing Zeros

Distinct	7
Distinct (%)	0.1%
Missing	1772
Missing (%)	19.9%
Infinite	0
Infinite (%)	0.0%
Mean	0.2112479

Minimum	0
Maximum	6
Zeros	5931
Zeros (%)	66.5%
Negative	0
Negative (%)	0.0%
Memory size	69.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.52381586
Coefficient of variation (CV)	2.4796263
Kurtosis	14.360295
Mean	0.2112479
Median Absolute Deviation (MAD)	0
Skewness	3.197739
Sum	1510
Variance	0.27438305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	5931	66.5%
1	987	11.1%
2	189	2.1%
3	25	0.3%
4	11	0.1%
5	4	< 0.1%
6	1	< 0.1%
(Missing)	1772	19.9%

Value	Count	Frequency (%)
0	5931	66.5%
1	987	11.1%
2	189	2.1%
3	25	0.3%
4	11	0.1%
5	4	< 0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
6	1	< 0.1%
5	4	< 0.1%
4	11	0.1%
3	25	0.3%
2	189	2.1%
1	987	11.1%
0	5931	66.5%

municipality
Text

Distinct	226
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	527.2 KiB

Length

Max length	29
Median length	22
Mean length	10.14787
Min length	5

Characters and Unicode

Total characters	90519
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29 ?
Unique (%)	0.3%

Sample

1st row	JARDINS DE CARTHAGE
2nd row	LES JARDINS
3rd row	BERGE DU LAC
4th row	ENNASR
5th row	AOUINA

Value	Count	Frequency (%)
el	1462	8.7%
aouina	873	5.2%
soukra	818	4.9%
ennasr	664	4.0%
jardins	592	3.5%
zaghouan	561	3.4%
ain	561	3.4%
carthage	482	2.9%
de	468	2.8%
menzah	433	2.6%
Other values (229)	9807	58.7%

Most occurring characters

Value	Count	Frequency (%)
A	13951	15.4%
E	8170	9.0%
	7801	8.6%
R	6775	7.5%
N	6720	7.4%
O	5195	5.7%
I	4845	5.4%
U	4808	5.3%
L	4031	4.5%
S	3585	4.0%
Other values (28)	24638	27.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	90519	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	13951	15.4%
E	8170	9.0%
	7801	8.6%
R	6775	7.5%
N	6720	7.4%
O	5195	5.7%
I	4845	5.4%
U	4808	5.3%
L	4031	4.5%
S	3585	4.0%
Other values (28)	24638	27.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	90519	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	13951	15.4%
E	8170	9.0%
	7801	8.6%
R	6775	7.5%
N	6720	7.4%
O	5195	5.7%
I	4845	5.4%
U	4808	5.3%
L	4031	4.5%
S	3585	4.0%
Other values (28)	24638	27.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	90519	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	13951	15.4%
E	8170	9.0%
	7801	8.6%
R	6775	7.5%
N	6720	7.4%
O	5195	5.7%
I	4845	5.4%
U	4808	5.3%
L	4031	4.5%
S	3585	4.0%
Other values (28)	24638	27.2%

delegation
Categorical

High correlation

Distinct	46
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	511.7 KiB

SOUKRA	2181
MARSA	1704
EL MNIHLA	665
ARIANA VILLE	533
BAB BHAR	305
Other values (41)	3532

Length

Max length	29
Median length	21
Mean length	8.1378924
Min length	4

Characters and Unicode

Total characters	72590
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	MARSA
2nd row	BAB BHAR
3rd row	MARSA
4th row	EL MNIHLA
5th row	SOUKRA

Common Values

Value	Count	Frequency (%)
SOUKRA	2181	24.5%
MARSA	1704	19.1%
EL MNIHLA	665	7.5%
ARIANA VILLE	533	6.0%
BAB BHAR	305	3.4%
EL MENZAH	298	3.3%
MANOUBA	282	3.2%
RADES	279	3.1%
RAOUED	245	2.7%
BARDO	227	2.5%
Other values (36)	2201	24.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
soukra	2181	16.3%
el	2136	15.9%
marsa	1704	12.7%
mnihla	665	5.0%
ariana	533	4.0%
ville	533	4.0%
bab	351	2.6%
bhar	305	2.3%
menzah	298	2.2%
manouba	282	2.1%
Other values (53)	4414	32.9%

Most occurring characters

Value	Count	Frequency (%)
A	13621	18.8%
R	6926	9.5%
E	5733	7.9%
L	5040	6.9%
S	4639	6.4%
	4484	6.2%
O	4358	6.0%
U	4061	5.6%
M	4023	5.5%
I	3455	4.8%
Other values (16)	16250	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	72590	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	13621	18.8%
R	6926	9.5%
E	5733	7.9%
L	5040	6.9%
S	4639	6.4%
	4484	6.2%
O	4358	6.0%
U	4061	5.6%
M	4023	5.5%
I	3455	4.8%
Other values (16)	16250	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	72590	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	13621	18.8%
R	6926	9.5%
E	5733	7.9%
L	5040	6.9%
S	4639	6.4%
	4484	6.2%
O	4358	6.0%
U	4061	5.6%
M	4023	5.5%
I	3455	4.8%
Other values (16)	16250	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	72590	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	13621	18.8%
R	6926	9.5%
E	5733	7.9%
L	5040	6.9%
S	4639	6.4%
	4484	6.2%
O	4358	6.0%
U	4061	5.6%
M	4023	5.5%
I	3455	4.8%
Other values (16)	16250	22.4%

floor
Real number (ℝ)

High correlation Missing Zeros

Distinct	16
Distinct (%)	0.3%
Missing	3722
Missing (%)	41.7%
Infinite	0
Infinite (%)	0.0%
Mean	2.2052713

Minimum	-1
Maximum	20
Zeros	1002
Zeros (%)	11.2%
Negative	1
Negative (%)	< 0.1%
Memory size	69.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	20
Range	21
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9228919
Coefficient of variation (CV)	0.87195253
Kurtosis	3.7234158
Mean	2.2052713
Median Absolute Deviation (MAD)	1
Skewness	1.2581369
Sum	11463
Variance	3.6975131
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
1	1254	14.1%
2	1036	11.6%
0	1002	11.2%
3	729	8.2%
4	559	6.3%
5	255	2.9%
6	203	2.3%
7	114	1.3%
8	21	0.2%
9	12	0.1%
Other values (6)	13	0.1%
(Missing)	3722	41.7%

Value	Count	Frequency (%)
-1	1	< 0.1%
0	1002	11.2%
1	1254	14.1%
2	1036	11.6%
3	729	8.2%
4	559	6.3%
5	255	2.9%
6	203	2.3%
7	114	1.3%
8	21	0.2%

Value	Count	Frequency (%)
20	1	< 0.1%
19	1	< 0.1%
18	1	< 0.1%
11	1	< 0.1%
10	8	0.1%
9	12	0.1%
8	21	0.2%
7	114	1.3%
6	203	2.3%
5	255	2.9%

description
Text

Distinct	8904
Distinct (%)	100.0%
Missing	16
Missing (%)	0.2%
Memory size	11.0 MiB

Length

Max length	5229
Median length	1123
Mean length	494.12882
Min length	9

Characters and Unicode

Total characters	4399723
Distinct characters	571
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8904 ?
Unique (%)	100.0%

Sample

1st row	Green Immobilière vous propose à la vente un bel appartement dans une résidence sécurisée et proche de toutes commodités a el nasr 2. Il est composé : -un salon salle à manger avec terrasse -une salle d'eau -une cuisine équipée avec séchoir -deux chambres à coucher avec une salle de bain commune -une suite parentale -une place de parking au sous-sol Prix demandé : 400.000 MDT
2nd row	L'agence immobilière Good Life vous propose à la vente un appartement S+3, qui occupe le premier étage d’un immeuble R+5 avec double ascenseur, situé à Jardins d’El Menzah. Cet appartement, construit en 2006, offre une superficie totale de 157 (140 net). Il se compose d’un salon lumineux avec un grand balcon, de trois chambres à coucher équipées de dressings, d’une salle de bain, d’une salle d’eau, d’un dressing supplémentaire dans le couloir, ainsi que d’une cuisine avec séchoir. Une place de parking est incluse au sous-sol. L’appartement est équipé de chauffage central, de deux climatiseurs et d’un interphone. La résidence est sécurisée et bénéficie d’un service de gardiennage. Papier: TF en cours. Le prix demandé est de 365 000 dinars. Pour plus d’informations, veuillez contacter votre courtier en immobilier, Mr Slim Dhouib.
3rd row	La Croisette Immobilière Tunisie vous propose à la vente un appartement S+1 occupant le rez-de-chaussée d’une résidence gardée à La Nouvelle Soukra, à Ain Zaghouan. Ce dernier fait 77 mètres carrés et se compose d'un grand salon, d'une cuisine aménagée et équipée, d'une chambre à coucher avec placard attenante à une terrasse et d’une salle d'eau avec douche. L'appartement est équipé du chauffage central et de climatiseurs. Réf :MAV1783
4th row	A vendre un appartement de 83 net au titre foncier à l ariana essoughra tout prés de l université ESPRIT Ariana au 2ème étage dans une résidence prés de toutes commodités composé d un salon cuisine bien équipée deux chambres et sdb prix négociable.
5th row	L'agence immobilière Good Life vous propose à la vente un S+2 à la Soukra côté Carrefour express. Cet appartement de 143 au 7ème étage étage, se compose d’un spacieux hall d’entrée, d’une cuisine équipée de plaque , Hotte et four avec séchoir, d’un salon/ salle à manger ouvrant sur une petite terrasse, d’une salle d’eau pour les invités avec aération fenêtre, de deux chambres qui se partageant une salle de bain ainsi qu'une terrasse. L’appartement dispose d'un chauffage central et de 4 climatiseurs. Une place de parking est à disposition. Pour une visite ou plus d'informations contacter votre courtier en immobilier Myriam Zahaf.

Value	Count	Frequency (%)
de	31119	4.3%
à	22798	3.2%
	19474	2.7%
et	19008	2.6%
une	18209	2.5%
un	16424	2.3%
avec	14125	2.0%
appartement	10594	1.5%
salle	10577	1.5%
la	10375	1.4%
Other values (23219)	548452	76.1%

Most occurring characters

Value	Count	Frequency (%)
	712435	16.2%
e	482689	11.0%
a	277548	6.3%
n	257439	5.9%
s	226704	5.2%
i	219979	5.0%
t	210749	4.8%
r	209859	4.8%
u	192216	4.4%
o	153848	3.5%
Other values (561)	1456257	33.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4399723	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	712435	16.2%
e	482689	11.0%
a	277548	6.3%
n	257439	5.9%
s	226704	5.2%
i	219979	5.0%
t	210749	4.8%
r	209859	4.8%
u	192216	4.4%
o	153848	3.5%
Other values (561)	1456257	33.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4399723	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	712435	16.2%
e	482689	11.0%
a	277548	6.3%
n	257439	5.9%
s	226704	5.2%
i	219979	5.0%
t	210749	4.8%
r	209859	4.8%
u	192216	4.4%
o	153848	3.5%
Other values (561)	1456257	33.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4399723	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	712435	16.2%
e	482689	11.0%
a	277548	6.3%
n	257439	5.9%
s	226704	5.2%
i	219979	5.0%
t	210749	4.8%
r	209859	4.8%
u	192216	4.4%
o	153848	3.5%
Other values (561)	1456257	33.1%

date
Unsupported

Missing Rejected Unsupported

Missing	6087
Missing (%)	68.2%
Memory size	397.1 KiB

floor_description
Text

Missing

Distinct	3458
Distinct (%)	78.1%
Missing	4493
Missing (%)	50.4%
Memory size	845.7 KiB

Length

Max length	6479
Median length	899
Mean length	74.691665
Min length	15

Characters and Unicode

Total characters	330660
Distinct characters	113
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2934 ?
Unique (%)	66.3%

Sample

1st row	s+3 occupant le rez-de-chaussee d'une residence gardee
2nd row	à coucher qui partage une salle de
3rd row	un etage de villa situe
4th row	luxe au dernier etage avec une vue
5th row	occupant le dernier etage d'une residence gardee

Value	Count	Frequency (%)
etage	4765	8.2%
au	4597	8.0%
residence	1522	2.6%
une	1516	2.6%
avec	1476	2.6%
	1406	2.4%
situe	1308	2.3%
rdc	1259	2.2%
de	1253	2.2%
dans	1021	1.8%
Other values (2260)	37683	65.2%

Most occurring characters

Value	Count	Frequency (%)
e	57970	17.5%
	53379	16.1%
a	27074	8.2%
s	18637	5.6%
u	18194	5.5%
t	17208	5.2%
r	16017	4.8%
n	15876	4.8%
i	12119	3.7%
d	11849	3.6%
Other values (103)	82337	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	330660	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	57970	17.5%
	53379	16.1%
a	27074	8.2%
s	18637	5.6%
u	18194	5.5%
t	17208	5.2%
r	16017	4.8%
n	15876	4.8%
i	12119	3.7%
d	11849	3.6%
Other values (103)	82337	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	330660	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	57970	17.5%
	53379	16.1%
a	27074	8.2%
s	18637	5.6%
u	18194	5.5%
t	17208	5.2%
r	16017	4.8%
n	15876	4.8%
i	12119	3.7%
d	11849	3.6%
Other values (103)	82337	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	330660	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	57970	17.5%
	53379	16.1%
a	27074	8.2%
s	18637	5.6%
u	18194	5.5%
t	17208	5.2%
r	16017	4.8%
n	15876	4.8%
i	12119	3.7%
d	11849	3.6%
Other values (103)	82337	24.9%

Etat
Categorical

High correlation Missing

Distinct	9
Distinct (%)	0.8%
Missing	7831
Missing (%)	87.8%
Memory size	503.4 KiB

nouveau	363
bon état	351
Bon état	221
Nouveau	136
à rénover	12
Other values (4)	6

Length

Max length	9
Median length	8
Mean length	7.5417815
Min length	4

Characters and Unicode

Total characters	8213
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.2%

Sample

1st row	Nouveau
2nd row	nouveau
3rd row	nouveau
4th row	nouveau
5th row	bon état

Common Values

Value	Count	Frequency (%)
nouveau	363	4.1%
bon état	351	3.9%
Bon état	221	2.5%
Nouveau	136	1.5%
à rénover	12	0.1%
À rénover	2	< 0.1%
vide	2	< 0.1%
neuf é	1	< 0.1%
Neuf	1	< 0.1%
(Missing)	7831	87.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bon	572	34.1%
état	572	34.1%
nouveau	499	29.8%
à	14	0.8%
rénover	14	0.8%
vide	2	0.1%
neuf	2	0.1%
é	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
t	1144	13.9%
o	1085	13.2%
a	1071	13.0%
u	1000	12.2%
n	950	11.6%
	587	7.1%
é	587	7.1%
e	517	6.3%
v	515	6.3%
b	351	4.3%
Other values (8)	406	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8213	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	1144	13.9%
o	1085	13.2%
a	1071	13.0%
u	1000	12.2%
n	950	11.6%
	587	7.1%
é	587	7.1%
e	517	6.3%
v	515	6.3%
b	351	4.3%
Other values (8)	406	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8213	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	1144	13.9%
o	1085	13.2%
a	1071	13.0%
u	1000	12.2%
n	950	11.6%
	587	7.1%
é	587	7.1%
e	517	6.3%
v	515	6.3%
b	351	4.3%
Other values (8)	406	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8213	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	1144	13.9%
o	1085	13.2%
a	1071	13.0%
u	1000	12.2%
n	950	11.6%
	587	7.1%
é	587	7.1%
e	517	6.3%
v	515	6.3%
b	351	4.3%
Other values (8)	406	4.9%

age
Categorical

High correlation Missing

Distinct	9
Distinct (%)	0.8%
Missing	7825
Missing (%)	87.7%
Memory size	492.8 KiB

10-20 years	269
Less than a year	240
5-10 years	238
1-5 years	191
20-30 years	98
Other values (4)	59

Length

Max length	19
Median length	16
Mean length	11.562557
Min length	9

Characters and Unicode

Total characters	12661
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Less than a year
2nd row	Less than a year
3rd row	Less than a year
4th row	10-20 years
5th row	Less than a year

Common Values

Value	Count	Frequency (%)
10-20 years	269	3.0%
Less than a year	240	2.7%
5-10 years	238	2.7%
1-5 years	191	2.1%
20-30 years	98	1.1%
30-50 years	45	0.5%
50-70 years	6	0.1%
70-100 years	4	< 0.1%
More than 100 years	4	< 0.1%
(Missing)	7825	87.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
years	855	31.9%
10-20	269	10.0%
than	244	9.1%
less	240	9.0%
a	240	9.0%
year	240	9.0%
5-10	238	8.9%
1-5	191	7.1%
20-30	98	3.7%
30-50	45	1.7%
Other values (4)	18	0.7%

Most occurring characters

Value	Count	Frequency (%)
	1583	12.5%
a	1579	12.5%
e	1339	10.6%
s	1335	10.5%
r	1099	8.7%
y	1095	8.6%
0	1094	8.6%
-	851	6.7%
1	706	5.6%
5	480	3.8%
Other values (9)	1500	11.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1583	12.5%
a	1579	12.5%
e	1339	10.6%
s	1335	10.5%
r	1099	8.7%
y	1095	8.6%
0	1094	8.6%
-	851	6.7%
1	706	5.6%
5	480	3.8%
Other values (9)	1500	11.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1583	12.5%
a	1579	12.5%
e	1339	10.6%
s	1335	10.5%
r	1099	8.7%
y	1095	8.6%
0	1094	8.6%
-	851	6.7%
1	706	5.6%
5	480	3.8%
Other values (9)	1500	11.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1583	12.5%
a	1579	12.5%
e	1339	10.6%
s	1335	10.5%
r	1099	8.7%
y	1095	8.6%
0	1094	8.6%
-	851	6.7%
1	706	5.6%
5	480	3.8%
Other values (9)	1500	11.8%

Interactions

Correlations

	Etat	age	air_conditioning	balcony	bathrooms	bedrooms	delegation	elevator	equipped_kitchen	etage_count	floor	heating	parking	price	rez_de_chaussee_count	rooms	state	surface
Etat	1.000	0.357	0.330	0.239	1.000	0.093	0.361	0.228	0.310	0.000	0.063	0.336	0.194	0.000	0.000	0.000	0.456	0.033
age	0.357	1.000	0.266	0.105	1.000	0.134	0.295	0.381	0.384	0.156	0.069	0.356	0.259	0.066	0.054	0.000	0.217	0.000
air_conditioning	0.330	0.266	1.000	0.306	0.000	0.129	0.335	0.342	0.418	0.077	0.103	0.701	0.337	0.000	0.049	0.025	0.200	0.140
balcony	0.239	0.105	0.306	1.000	0.000	0.146	0.184	0.213	0.256	0.095	0.105	0.282	0.213	0.014	0.030	0.066	0.098	0.181
bathrooms	1.000	1.000	0.000	0.000	1.000	0.307	0.000	0.007	0.000	-0.028	0.055	0.004	0.000	0.322	-0.000	0.231	0.012	0.350
bedrooms	0.093	0.134	0.129	0.146	0.307	1.000	0.100	0.089	0.130	0.117	0.084	0.125	0.086	0.370	-0.005	0.689	0.082	0.641
delegation	0.361	0.295	0.335	0.184	0.000	0.100	1.000	0.232	0.185	0.044	0.105	0.313	0.214	0.000	0.048	0.098	0.998	0.097
elevator	0.228	0.381	0.342	0.213	0.007	0.089	0.232	1.000	0.427	0.000	0.262	0.389	0.305	0.018	0.119	0.038	0.137	0.081
equipped_kitchen	0.310	0.384	0.418	0.256	0.000	0.130	0.185	0.427	1.000	0.038	0.079	0.340	0.230	0.000	0.000	0.142	0.138	0.087
etage_count	0.000	0.156	0.077	0.095	-0.028	0.117	0.044	0.000	0.038	1.000	0.476	0.080	0.029	0.001	-0.159	0.075	0.024	0.065
floor	0.063	0.069	0.103	0.105	0.055	0.084	0.105	0.262	0.079	0.476	1.000	0.116	0.053	-0.054	-0.744	0.056	0.070	0.008
heating	0.336	0.356	0.701	0.282	0.004	0.125	0.313	0.389	0.340	0.080	0.116	1.000	0.313	0.009	0.029	0.016	0.190	0.130
parking	0.194	0.259	0.337	0.213	0.000	0.086	0.214	0.305	0.230	0.029	0.053	0.313	1.000	0.000	0.008	0.048	0.092	0.124
price	0.000	0.066	0.000	0.014	0.322	0.370	0.000	0.018	0.000	0.001	-0.054	0.009	0.000	1.000	0.044	0.272	0.000	0.710
rez_de_chaussee_count	0.000	0.054	0.049	0.030	-0.000	-0.005	0.048	0.119	0.000	-0.159	-0.744	0.029	0.008	0.044	1.000	-0.039	0.010	0.029
rooms	0.000	0.000	0.025	0.066	0.231	0.689	0.098	0.038	0.142	0.075	0.056	0.016	0.048	0.272	-0.039	1.000	0.060	0.521
state	0.456	0.217	0.200	0.098	0.012	0.082	0.998	0.137	0.138	0.024	0.070	0.190	0.092	0.000	0.010	0.060	1.000	0.082
surface	0.033	0.000	0.140	0.181	0.350	0.641	0.097	0.081	0.087	0.065	0.008	0.130	0.124	0.710	0.029	0.521	0.082	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	price	location	state	bedrooms	rooms	bathrooms	surface	parking	equipped_kitchen	balcony	heating	air_conditioning	garage	elevator	etage_count	rez_de_chaussee_count	municipality	delegation	floor	description	date	floor_description	Etat	age
0	680000	Jardins de Carthage	TUNIS	3.0	4.0	1.0	150.0	Yes	Yes	no	no	no	no	No	0.0	0.0	JARDINS DE CARTHAGE	MARSA	NaN	NaN	NaN	NaN	NaN	NaN
1	560000	Les Jardins du lac 2	TUNIS	2.0	3.0	1.0	125.0	Yes	Yes	Yes	no	Yes	no	Yes	NaN	NaN	LES JARDINS	BAB BHAR	7.0	NaN	NaN	NaN	NaN	NaN
2	480000	Les berges du lac 1	TUNIS	3.0	5.0	2.0	109.0	Yes	no	no	no	no	no	No	0.0	0.0	BERGE DU LAC	MARSA	NaN	NaN	NaN	NaN	NaN	NaN
3	410000	Ennasr 1-2	ARIANA	3.0	4.0	2.0	130.0	Yes	no	no	no	no	no	No	0.0	0.0	ENNASR	EL MNIHLA	NaN	NaN	NaN	NaN	NaN	NaN
4	399000	Aouina	ARIANA	2.0	3.0	2.0	115.0	no	no	no	no	no	no	No	0.0	0.0	AOUINA	SOUKRA	NaN	NaN	NaN	NaN	NaN	NaN
5	395000	La Soukra	ARIANA	3.0	5.0	1.0	114.0	Yes	Yes	Yes	no	Yes	no	Yes	0.0	0.0	SOUKRA	SOUKRA	NaN	NaN	NaN	NaN	NaN	NaN
6	385000	La Soukra	ARIANA	2.0	3.0	NaN	120.0	no	no	no	no	no	no	No	0.0	0.0	SOUKRA	SOUKRA	NaN	NaN	NaN	NaN	NaN	NaN
7	385000	La Soukra	ARIANA	2.0	3.0	2.0	91.0	Yes	Yes	Yes	no	no	no	Yes	NaN	NaN	SOUKRA	SOUKRA	0.0	NaN	NaN	NaN	NaN	NaN
8	375000	Chotrana	ARIANA	2.0	3.0	1.0	92.0	no	no	no	no	no	no	No	0.0	0.0	CHOTRANA	SOUKRA	NaN	NaN	NaN	NaN	NaN	NaN
9	360000	Ennasr 1-2	ARIANA	2.0	4.0	2.0	90.0	Yes	Yes	Yes	Yes	no	no	Yes	NaN	NaN	ENNASR	EL MNIHLA	7.0	NaN	NaN	NaN	NaN	NaN

	price	location	state	bedrooms	rooms	bathrooms	surface	parking	equipped_kitchen	balcony	heating	air_conditioning	garage	elevator	etage_count	rez_de_chaussee_count	municipality	delegation	floor	description	date	floor_description	Etat	age
8910	210000	NaN	TUNIS	4.0	5.0	1.0	110.0	no	no	no	no	no	no	No	NaN	NaN	CITE EL KHADRA	CITE EL KHADRA/CITÉ EL KHADRA	3.0	<p> L'appartement S+4 de 110m2 se trouve au 3ème étage d'un immeuble à la Cité Olympique. L'appartement bénéficie d'une belle luminosité naturelle à cause de l'orientation. Il est constitué de quatre chambres à coucher,d'un salon spacieux qui offre également une vue dégagée sur les environs, une cuisine, une salle de bain, un point d'eau.</p><p>Il propose un espace de vie pratique comprenant toutes les commodités à proximité.</p> 5 pièces	NaN	NaN	NaN	30-50 years
8911	600000	NaN	ARIANA	3.0	5.0	1.0	306.0	Yes	no	Yes	Yes	Yes	no	Yes	NaN	NaN	ENNASR	EL MNIHLA	6.0	<p><strong>Ce duplex</strong> s'étend sur le <strong>sixième</strong> et le <strong>septième</strong> étage d'une résidence <strong>dotée</strong> d’un ascenseur. L'entrée mène à un salon <strong>lumineux</strong>, grâces à ses nombreuses fenêtres offrant une <strong>vue</strong> <strong>panoramique</strong>, ainsi qu'une <strong>salle à manger</strong>, <strong>parfaite</strong> pour des moments de <strong>convivialité</strong>.</p><p>La <strong>cuisine</strong> est entièrement <strong>équipée</strong>, comprenant une <strong>plaque de cuisson, un four électrique et une hotte aspirante</strong>, et donne également sur <strong>un séchoir.</strong></p><p>Toujours <strong>au rez-de-chaussée</strong>, vous trouverez également <strong>un séjour</strong> <strong>avec balcon</strong> ainsi qu’une <strong>salle d'eau</strong> pour les <strong>invités</strong> qui complète la partie jour.</p><p> <strong>À l'étage</strong>, l'espace <strong>nuit</strong> comprend une <strong>suite</strong> <strong>parentale avec une salle de</strong> <strong>bain</strong> <strong>privative</strong>. On trouve également <strong>trois chambres à coucher, chacune disposant d'un dressing. Une salle de bain commune</strong> est à disposition.</p><p>Le duplex est équipé par un <strong>chauffage central, une climatisation en split système, une connexion en fibre optique et un système d’alarme.</strong></p><p><strong>Une place de parking permettant d’accueillir deux voitures est disponible au sous-sol.</strong></p> 5 pièces	NaN	NaN	NaN	20-30 years
8912	190000	NaN	TUNIS	1.0	2.0	1.0	46.0	Yes	no	Yes	no	no	no	Yes	0.0	1.0	GAMMARTH	MARSA	0.0	<p>Cet appartement est situé au sein d'une résidence s'étendant sur trois niveaux avec ascenseur, à Gammarth.</p><p>Il se trouve au rez-de-chaussée de la résidence. L'entrée dessert un salon avec une cuisine américaine et un balcon.</p><p>La partie nuit comprend une chambre à coucher et une salle de douche.</p><p>Une place de parking est également disponible à l'intérieur de la résidence</p> 2 pièces	NaN	se trouve au rez-de-chaussee de la residence.	NaN	10-20 years
8913	210000	NaN	TUNIS	3.0	3.0	1.0	88.0	Yes	no	Yes	no	no	no	No	NaN	NaN	CITE EL KHADRA	CITE EL KHADRA/CITÉ EL KHADRA	3.0	<p>Cet appartement <strong>S+3</strong> situé au <strong>3ème étage</strong>, doté d'un <strong> point d'eau et une salle de bain</strong>, d'un <strong>balcon</strong> attenant au salon, <strong>trois chambres</strong> avec <strong>dressings</strong> et d'une <strong>cuisine spacieuse</strong>.</p><p>Niché dans un quartier résidentiel paisible, il offre un cadre de vie idéal à proximité des <strong>écoles</strong>, <strong>commerces</strong> et <strong>transports en commun</strong>.</p><p>Une <strong>place de parking</strong> est disponible.</p> 3 pièces	NaN	NaN	NaN	30-50 years
8914	470000	NaN	TUNIS	2.0	2.0	1.0	103.0	Yes	no	no	Yes	Yes	no	Yes	NaN	NaN	CENTRE URBAIN NORD	CITE EL KHADRA/CITÉ EL KHADRA	1.0	<p>Un <strong>appartement S+2</strong> situé au Centre Urbain Nord, d'une superficie de <strong>103 m²</strong>, au <strong>1er étage</strong> d'un immeuble. Ce bien se compose d'un <strong>salon spacieux</strong>, de <strong>deux chambres</strong> confortables et d'une <strong>salle de bain</strong> bien <strong>aménagée</strong>. <strong>La cuisine</strong> est entièrement <strong>équipée</strong> avec une <strong>plaque de cuisson</strong>, une <strong>hotte aspirante</strong>, un <strong>four</strong> et un <strong>sèche-linge.</strong> L'appartement bénéficie également de la <strong>climatisation centrale</strong> et du <strong>chauffage central</strong> pour un confort optimal tout au long de l'année. De plus, il dispose d'une <strong>place de parking</strong> dédiée. Il offre un cadre de vie agréable avec toutes les commodités nécessaires à proximité.</p> 2 pièces	NaN	NaN	NaN	5-10 years
8915	267000	NaN	BEN AROUS	2.0	3.0	1.0	90.0	Yes	no	Yes	Yes	no	no	No	NaN	NaN	BOU MHEL	BOU MHEL EL BASSATINE	1.0	<p>Appartement S+2 en <strong>direct promoteur</strong> situé dans une résidence en <strong>R+4 à Boumhel El Bassatine</strong>. Plusieurs typologies sont disponibles et les finitions sont en cours avec une <strong>remise des clés</strong> prévue pour <strong>juin 2025</strong>. Cet appartement comprend une entrée menant à un salon <strong>spacieux</strong> revêtu de marbre. La cuisine entièrement <strong>équipée</strong> et <strong>aménagée</strong> dispose également d'un <strong>séchoir</strong>. La partie nuit se compose de deux chambres l'une avec un <strong>dressing</strong> et l'autre donnant accès à une <strong>terrasse</strong>. Une salle de bain commune est à disposition. De plus, <strong>une place de parking</strong> est proposée au prix de 18 000TND.</p> 3 pièces	NaN	NaN	NaN	Less than a year
8916	490000	NaN	ARIANA	1.0	3.0	1.0	152.0	Yes	no	Yes	Yes	Yes	no	No	NaN	NaN	ENNASR	EL MNIHLA	1.0	<p>Ce duplex fait partie d’une <strong>résidence calme et sécurisée à Ennasr 2</strong>. Il bénéficie d'une<strong> entrée indépendante</strong> ainsi qu’un accès à <strong>une terrasse.</strong> Le premier niveau abrite <strong>une chambre à coucher équipée d’un dressing ainsi qu’une salle d’eau</strong>. <strong>Quelques marches nous mènent au rez-de-chaussée qui loge une pièce de vie accueillante,</strong> elle permet d’aménager <strong>un salon et une salle à manger</strong>. <strong>La cuisine</strong> est totalement indépendante, elle est équipée d<strong>’une plaque de cuisson et une hotte aspirante</strong>, elle est complétée par <strong>un séchoir fonctionnel.</strong> Le premier étage comprend <strong>deux chambres à coucher avec dressing</strong> et elles se partagent <strong>une salle de bain avec jacuzzi.</strong> Ce duplex est équipé <strong>d’un chauffage central et d'une climatisation en split système</strong>. <strong>Une place de parking</strong> est disponible pour les futurs occupants.</p> 3 pièces	NaN	NaN	NaN	10-20 years
8917	385000	NaN	ARIANA	3.0	3.0	1.0	139.0	Yes	no	Yes	Yes	Yes	no	Yes	1.0	0.0	ENNASR	EL MNIHLA	NaN	<p>Cet appartement est situé au <strong>sixième</strong> étage d'une résidence <strong>sécurisée</strong>. Dès votre arrivée, un <strong>hall</strong> d'entrée <strong>accueillant</strong> équipée d’un dressing vous y attend. Le salon <strong>lumineux</strong> offre un espace <strong>agréable</strong>. La cuisine <strong>soigneusement</strong> équipée et <strong>aménagée</strong>, elle dispose d'une <strong>plaque</strong> de <strong>cuisson</strong> et d'un <strong>four électrique</strong>, ainsi que d'un espace dédié pour un <strong>séchoir</strong>. <strong>Une salle de douche</strong> complète la partie jour. La partie nuit de l'appartement comprend une <strong>suite parentale</strong> avec <strong>une salle de bain</strong>, ainsi que <strong>deux chambres à coucher dotée d'un dressing chacune</strong> et dont une complétée par <strong>un balcon</strong>. L’appartement est doté <strong>d’un chauffage central et d’une climatisation par split système. </strong><strong>Une place de parking</strong> est également disponible pour les futurs propriétaires.</p> 3 pièces	NaN	situe au <strong>sixieme</strong> etage d'une residence <strong>securisee</strong>.	NaN	10-20 years
8918	320000	NaN	TUNIS	3.0	4.0	1.0	125.0	Yes	no	Yes	no	Yes	no	No	NaN	NaN	CITE EL KHADRA	CITE EL KHADRA/CITÉ EL KHADRA	1.0	<p>Cet appartement de type S+3, situé au <strong>premier étage</strong>, comprend <strong>trois chambres</strong> ainsi qu'un <strong>salon spacieux</strong> avec <strong>un balcon vast</strong>e et un point d'eau, une salle de bain, et une cuisine lumineuse.</p><p>Niché dans un quartier résidentiel calme , il offre un cadre de vie idéal à proximité des <strong>écoles</strong>, <strong>commerces</strong> et <strong>transports en commun</strong>.</p><p>Une <strong>place de parking</strong> collective.</p> 4 pièces	NaN	NaN	NaN	30-50 years
8919	340000	NaN	TUNIS	2.0	3.0	1.0	85.0	Yes	no	no	no	no	no	Yes	0.0	0.0	GAMMARTH	MARSA	NaN	<p>Cet appartement est situé au sein d'une résidence à Gammarth, s'étendant sur deux niveaux et équipée d'un ascenseur.</p><p>L'entrée mène à un hall spacieux qui donne accès au salon avec salle à manger.</p><p>La cuisine dispose d'un séchoir.</p><p>Une salle d'eau est disponible pour les invités dans cette partie jour.</p><p>La partie nuit comprend deux chambres à coucher, chacune dotée de dressings et d'une salle d'eau avec baignoire.</p><p>Une place de parking est également disponible pour les futurs propriétaires.</p> 3 pièces	NaN	NaN	NaN	10-20 years

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)